LEADER 03541nam 22005775 450 001 9910337641603321 005 20200706033019.0 010 $a3-030-05309-1 024 7 $a10.1007/978-3-030-05309-3 035 $a(CKB)4100000007761874 035 $a(DE-He213)978-3-030-05309-3 035 $a(MiAaPQ)EBC5926394 035 $a(PPN)235234060 035 $a(EXLCZ)994100000007761874 100 $a20190301d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimization in Electrical Engineering /$fby Mohammad Fathi, Hassan Bevrani 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (IX, 174 p. 60 illus., 43 illus. in color.) 311 $a3-030-05308-3 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Linear Algebra Review -- Set constrained Optimization -- Convex Programming -- Duality -- LMI-based Optimization -- Artificial intelligence and evolutionary algorithms based optimization. 330 $aThis textbook provides students, researchers, and engineers in the area of electrical engineering with advanced mathematical optimization methods. Presented in a readable format, this book highlights fundamental concepts of advanced optimization used in electrical engineering. Chapters provide a collection that ranges from simple yet important concepts such as unconstrained optimization to highly advanced topics such as linear matrix inequalities and artificial intelligence-based optimization methodologies. The reader is motivated to engage with the content via numerous application examples of optimization in the area of electrical engineering. The book begins with an extended review of linear algebra that is a prerequisite to mathematical optimization. It then precedes with unconstrained optimization, convex programming, duality, linear matrix inequality, and intelligent optimization methods. This book can be used as the main text in courses such as Engineering Optimization, Convex Engineering Optimization, Advanced Engineering Mathematics and Robust Optimization and will be useful for practicing design engineers in electrical engineering fields. Author provided cases studies and worked examples are included for student and instructor use. 606 $aPower electronics 606 $aMathematical optimization 606 $aEnergy systems 606 $aPower Electronics, Electrical Machines and Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24070 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000 615 0$aPower electronics. 615 0$aMathematical optimization. 615 0$aEnergy systems. 615 14$aPower Electronics, Electrical Machines and Networks. 615 24$aOptimization. 615 24$aEnergy Systems. 676 $a519.3 676 $a519.6 700 $aFathi$b Mohammad$4aut$4http://id.loc.gov/vocabulary/relators/aut$0862562 702 $aBevrani$b Hassan$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337641603321 996 $aOptimization in Electrical Engineering$91925303 997 $aUNINA